<html><head><title>Data Scientist - Palo Alto, CA</title></head>
<body><h2>Data Scientist - Palo Alto, CA</h2>
The Opportunity

Eversight is looking for a new member of our Data Science team to help us transform a $3.4 trillion market. Every year, consumer goods brands and retailers in the US spend nearly 2% of GDP to fund discounts and other promotions, which drive ~40% of overall sales volume. Eversight is the pioneer in Offer Innovation, introducing the capability for brands and retailers to discover, test, and deploy more effective promotions using a cloud-based SaaS platform that harnesses the latest in behavioral economics and machine learning. The Offer Innovation platform leverages recommendation-based test design, automated feature selection capability, algorithmic optimal experimental design and predictive analytics.

Reporting directly to the Head of Data Science, you will work with customers (leading CPGs like Mars, Coca-Cola, and Nestle) and our Customer Success team to analyze and provide insight using large data sets from real experiments. As a key user-facing technical expert, you will develop generalizable and extensible solutions to clarify and improve product outcomes for our customers. This is an opportunity to work at the tip of the spear in applying cutting edge data science to transform an industry, working cross-functionally with a collaborative team in a dynamic startup experiencing dramatic, triple-digit growth.

Responsibilities


<li>Serve as dedicated data science expert for Eversight's users (leading CPG customers and the Customer Success team)</li><li>Lead custom analyses and communicate findings</li><li>Contribute to experimental design and validation for novel customer micro-tests</li><li>Technical resource for science-related questions about the product, test design, and insights</li><li>Mine customer and retailer digital assets to generate insights about optimal promotional test design and variable selection</li><li>Develop generalizable and scalable solutions for all of the above via scripting automated analytics</li><li>Translate analytic insights into concrete, actionable recommendations for business or product improvement</li><li>Maintain and augment internal statistical monitoring tools for science related features as well as prototype new science-driven product features</li><li>Partner with the engineering team to validate product automation</li>
Behavioral Profile


<li>Analytical, framework thinker with a strongly empirical orientation</li><li>Highly consultative and service-oriented; strong at translating data science concepts to non-technical audiences</li><li>Business focused; measures work in its contributions to business outcomes and prioritizes effort against deliverables accordingly</li>
Experience


<li>2+ years of relevant experience in analytics, data mining and experimentation with direct impact on business value</li><li>B.S. in Statistics, Mathematics, Engineering, Operations Research, Computer Science or relevant quantitative field</li><li>Experience in A/B testing and design of experiments (DOE)</li><li>Experience in machine learning methods with emphasis in regression and classification techniques (GLM, GLMM, decision trees, logistic regression, boosting, SVM)</li><li>Experience with statistical analysis tools such as Python or R</li><li>Experience with SQL</li><li>Knowledge of common data structures and ability to write efficient code in at least one language, preferably Python</li>
Location

Palo Alto, CA

About Us

Eversight is the recognized leader in AI-powered pricing and promotions. Global brands and retailers rely on the Eversight platform to optimize pricing and respond to market conditions, deliver higher ROI on promotional spend, and enable data-driven collaboration on investments. Eversight is generating 10-25% improvement in sales volume at leading customers such Coca-Cola, General Mills, Johnson & Johnson, and Walgreens. Founded in 2013 and backed by private venture capital funding, Eversight is headquartered in Palo Alto, California with additional offices in Chicago, and New York. Visit http://www.eversightlabs.com ( http://www.eversightlabs.com/ ) to learn more.</body>
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